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Publish atlantis qwenoft profile-aware H8 teacher

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  1. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/README.md +7 -0
  2. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/action_audit.json +10 -0
  3. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/best_000028336_14508032_reward_587110.000.pth +3 -0
  4. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/checkpoint.json +5 -0
  5. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/config.json +277 -0
  6. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/episode_metrics.jsonl +0 -0
  7. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/eval.yaml +137 -0
  8. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/eval_profile.json +218 -0
  9. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/profile/DONE +0 -0
  10. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/profile/hardware.json +40 -0
  11. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/profile/latency_burst_model.json +1476 -0
  12. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/profile/latency_distribution.json +1027 -0
  13. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/profile/latency_profile.png +0 -0
  14. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/profile/profile.json +67 -0
  15. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/provenance.json +51 -0
  16. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/train.yaml +134 -0
  17. latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/zero_teacher_config.json +263 -0
latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/README.md ADDED
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+ # Atlantis H8 CPU teacher for qwenoft RTX 3090 temporal profile
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+
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+ Fresh CPU/ALE training: 15M raw frames, seed 0, four-frame input, eight decision histories, constant LR 0.000303; GPU network updates, worker slot 0 and capacity 1.
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+
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+ Best checkpoint at 14508032 raw frames. GPU evaluation: 100 episodes, mean raw return 38411.0, seeds 1000000–1000099, parallel 32, 60/15 Hz, 7200 raw-frame cap.
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+
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+ [W&B](https://wandb.ai/saberrr-zju/latency-sensitive-bench/runs/atlantis-qwenoft-hist8-profile-cpu15m-s0-v1). Profile identity and both training/evaluation configs are included.
latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/action_audit.json ADDED
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+ },
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+ "episodes": 100,
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+ "issued_actions": 89062
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+ }
latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/best_000028336_14508032_reward_587110.000.pth ADDED
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+ size 18008870
latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/checkpoint.json ADDED
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+ {
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+ "checkpoint": "/mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teachers/atlantis-qwenoft-hist8-profile-cpu15m-s0-v1/checkpoint_p0/best_000028336_14508032_reward_587110.000.pth",
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+ "checkpoint_sha256": "40bdf046972b5794c4e48ad7ca919c9a601958a88e113089919ede354a7789f6",
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+ "training_step": 14508032
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+ }
latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/config.json ADDED
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+ {
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+ "help": false,
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+ "algo": "APPO",
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+ "env": "latency_gymnasium",
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+ "experiment": "atlantis-qwenoft-hist8-profile-cpu15m-s0-v1",
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+ "train_dir": "/mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teachers",
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+ "restart_behavior": "resume",
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+ "device": "gpu",
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+ "seed": 0,
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+ "initial_model_path": null,
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+ "num_policies": 1,
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+ "async_rl": true,
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+ "serial_mode": false,
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+ "batched_sampling": false,
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+ "num_batches_to_accumulate": 2,
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+ "worker_num_splits": 1,
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+ "policy_workers_per_policy": 1,
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+ "max_policy_lag": 300,
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+ "num_workers": 4,
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+ "num_envs_per_worker": 16,
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+ "batch_size": 1024,
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+ "num_batches_per_epoch": 8,
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+ "num_epochs": 2,
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+ "rollout": 64,
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+ "fasttd3_replay_capacity": 6553600,
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+ "fasttd3_replay_batch_size": 32768,
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+ "fasttd3_action_chunk_horizon": 1,
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+ "fasttd3_transitions_per_update": 64,
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+ "fasttd3_train_for_optimizer_steps": 10000000000,
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+ "fasttd3_v_min": -250.0,
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+ "fasttd3_v_max": 250.0,
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+ "fasttd3_actor_action_l2": 0.0,
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+ "fasttd3_compile": true,
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+ "recurrence": 32,
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+ "shuffle_minibatches": false,
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+ "gamma": 0.99,
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+ "reward_scale": 1.0,
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+ "reward_clip": 1000.0,
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+ "value_bootstrap": false,
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+ "normalize_returns": true,
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+ "exploration_loss_coeff": 0.003,
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+ "value_loss_coeff": 0.5,
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+ "kl_loss_coeff": 0.0,
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+ "exploration_loss": "entropy",
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+ "gae_lambda": 0.95,
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+ "ppo_clip_ratio": 0.1,
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+ "ppo_clip_value": 0.2,
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+ "with_vtrace": false,
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+ "vtrace_rho": 1.0,
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+ "vtrace_c": 1.0,
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+ "optimizer": "adam",
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+ "adam_eps": 1e-06,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "max_grad_norm": 0.0,
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+ "learning_rate": 0.000303,
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+ "lr_schedule": "constant",
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+ "lr_schedule_kl_threshold": 0.008,
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+ "lr_adaptive_min": 1e-06,
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+ "lr_adaptive_max": 0.01,
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+ "obs_subtract_mean": 0.0,
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+ "obs_scale": 1.0,
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+ "normalize_input": true,
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+ "normalize_input_keys": null,
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+ "decorrelate_experience_max_seconds": 0,
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+ "decorrelate_envs_on_one_worker": true,
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+ "actor_worker_gpus": [],
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+ "set_workers_cpu_affinity": true,
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+ "force_envs_single_thread": false,
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+ "default_niceness": 0,
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+ "log_to_file": true,
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+ "experiment_summaries_interval": 1,
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+ "flush_summaries_interval": 30,
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+ "stats_avg": 100,
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+ "summaries_use_frameskip": true,
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+ "heartbeat_interval": 20,
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+ "heartbeat_reporting_interval": 180,
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+ "train_for_env_steps": 15000000,
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+ "train_for_seconds": 10000000000,
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+ "save_every_sec": 600,
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+ "keep_checkpoints": 5,
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+ "load_checkpoint_kind": "latest",
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+ "save_milestones_sec": -1,
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+ "save_best_every_sec": 5,
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+ "save_best_metric": "reward",
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+ "save_best_after": 100000,
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+ "benchmark": false,
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+ "encoder_mlp_layers": [
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+ 512,
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+ 512
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+ ],
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+ "encoder_conv_architecture": "convnet_simple",
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+ "encoder_conv_mlp_layers": [
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+ 512
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+ ],
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+ "use_rnn": false,
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+ "rnn_size": 512,
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+ "rnn_type": "gru",
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+ "rnn_num_layers": 1,
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+ "decoder_mlp_layers": [],
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+ "nonlinearity": "elu",
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+ "policy_initialization": "orthogonal",
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+ "policy_init_gain": 1.0,
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+ "actor_critic_share_weights": true,
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+ "adaptive_stddev": false,
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+ "continuous_tanh_scale": 0.0,
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+ "initial_stddev": 1.0,
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+ "use_env_info_cache": false,
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+ "env_gpu_actions": false,
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+ "env_gpu_observations": true,
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+ "env_frameskip": 1,
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+ "env_framestack": 1,
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+ "pixel_format": "CHW",
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+ "use_record_episode_statistics": false,
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+ "episode_counter": false,
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+ "with_wandb": true,
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+ "wandb_user": null,
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+ "wandb_project": "latency-sensitive-bench",
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+ "wandb_group": "atlantis",
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+ "wandb_job_type": "sample_factory",
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+ "wandb_tags": [
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+ "atari-hist8-v1",
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+ "profile",
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+ "qwenoft"
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+ ],
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+ "wandb_dir": "/mnt/ssd/codex/atari-hist8-20260924/wandb",
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+ "with_pbt": false,
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+ "pbt_mix_policies_in_one_env": true,
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+ "pbt_period_env_steps": 5000000,
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+ "pbt_start_mutation": 20000000,
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+ "pbt_replace_fraction": 0.3,
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+ "pbt_mutation_rate": 0.15,
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+ "pbt_replace_reward_gap": 0.1,
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+ "pbt_replace_reward_gap_absolute": 1e-06,
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+ "pbt_optimize_gamma": false,
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+ "pbt_target_objective": "true_objective",
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+ "pbt_perturb_min": 1.1,
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+ "pbt_perturb_max": 1.5,
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+ "gym_task_name": "atlantis",
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+ "gym_env_id": "LatencyBench/Atlantis-v0",
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+ "gym_make_kwargs_json": "{\"base_env_id\": \"ALE/Atlantis-v5\", \"render_mode\": \"rgb_array\", \"screen_size\": 84, \"noop_max\": 30, \"base_make_kwargs\": {\"obs_type\": \"rgb\", \"frameskip\": 1, \"repeat_action_probability\": 0.0, \"full_action_space\": false, \"mode\": 0, \"difficulty\": 0, \"max_num_frames_per_episode\": 108000}}",
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+ "gym_registration_imports_json": "[\"latency_bench.envs.gymnasium_atlantis\"]",
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+ "gym_action_space_json": "{\"type\": \"discrete\", \"labels\": [\"noop\", \"fire\", \"rightfire\", \"leftfire\"], \"values\": [0, 1, 2, 3]}",
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+ "gym_action_labels_json": "[\"noop\", \"fire\", \"rightfire\", \"leftfire\"]",
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+ "gym_action_values_json": "[0, 1, 2, 3]",
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+ "gym_noop_action_id": 0,
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+ "gym_noop_action_json": "\"noop\"",
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+ "gym_base_prompt": "Defend Atlantis by firing at descending enemies. Choose exactly one action from: noop, fire, rightfire, leftfire.",
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+ "gym_state_labels_json": "",
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+ "env_fps": 60.0,
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+ "obs_fps": 15.0,
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+ "frame_stack": 4,
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+ "action_history_decisions": 8,
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+ "simulator": "cpu",
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+ "gpu_env_device": "auto",
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+ "gpu_env_batch_size": 1,
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+ "noop_max": null,
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+ "terminal_on_life_loss": null,
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+ "clip_reward": null,
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+ "max_episode_steps": null,
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+ "export_env_raw_rgb_frames": false,
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+ "mode": "train",
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+ "latency_type": "profile_sample",
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+ "fixed_latency_ms": null,
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+ "mean_latency_ms": null,
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+ "std_latency_ms": null,
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+ "min_latency_ms": null,
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+ "max_latency_ms": null,
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+ "latency_seed": 0,
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+ "latency_profile_path": "/mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teacher_configs/atlantis-qwenoft/profile/profile.json",
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+ "latency_profile_worker_slot": 0,
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+ "simulated_worker_capacity": 1,
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+ "add_latency_info": false,
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+ "max_pending_actions": null,
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+ "hold_last_chunk_action": false,
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+ "hold_policy": "hold",
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+ "ordering_policy": "issue_order_fifo",
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+ "eval_episodes": 5,
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+ "eval_parallel_envs": 1,
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+ "eval_latency_raw_frame_values": null,
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+ "eval_max_steps": 5000,
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+ "eval_deterministic": true,
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+ "eval_raw_reward": false,
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+ "episode_metrics_path": "/mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teachers/atlantis-qwenoft-hist8-profile-cpu15m-s0-v1/episode_metrics.jsonl",
185
+ "ppo": null,
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+ "command_line": "--mode train --algo APPO --env latency_gymnasium --experiment atlantis-qwenoft-hist8-profile-cpu15m-s0-v1 --train_dir /mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teachers --restart_behavior resume --device gpu --seed 0 --episode_metrics_path /mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teachers/atlantis-qwenoft-hist8-profile-cpu15m-s0-v1/episode_metrics.jsonl --train_for_env_steps 15000000 --num_workers 4 --num_envs_per_worker 16 --num_policies 1 --batch_size 1024 --rollout 64 --recurrence 32 --num_epochs 2 --num_batches_per_epoch 8 --worker_num_splits 1 --max_policy_lag 300 --learning_rate 0.000303 --lr_schedule constant --nonlinearity elu --gamma 0.99 --gae_lambda 0.95 --ppo_clip_ratio 0.1 --ppo_clip_value 0.2 --exploration_loss entropy --exploration_loss_coeff 0.003 --value_loss_coeff 0.5 --max_grad_norm 0.0 --adam_eps 1e-06 --obs_scale 1.0 --save_every_sec 600 --keep_checkpoints 5 --stats_avg 100 --experiment_summaries_interval 1 --async_rl True --use_rnn False --normalize_returns True --normalize_input True --adaptive_stddev False --with_vtrace False --latency-type profile_sample --latency-seed 0 --latency-profile-path /mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teacher_configs/atlantis-qwenoft/profile/profile.json --latency-profile-worker-slot 0 --simulated-worker-capacity 1 --add-latency-info False --eval-episodes 5 --eval-parallel-envs 1 --eval-max-steps 5000 --eval-deterministic True --with_wandb True --wandb_project latency-sensitive-bench --wandb_group atlantis --wandb_job_type sample_factory --wandb_tags atari-hist8-v1 profile qwenoft --encoder_conv_architecture convnet_simple --gym-task-name atlantis --gym-env-id LatencyBench/Atlantis-v0 --gym-make-kwargs-json {\"base_env_id\": \"ALE/Atlantis-v5\", \"render_mode\": \"rgb_array\", \"screen_size\": 84, \"noop_max\": 30, \"base_make_kwargs\": {\"obs_type\": \"rgb\", \"frameskip\": 1, \"repeat_action_probability\": 0.0, \"full_action_space\": false, \"mode\": 0, \"difficulty\": 0, \"max_num_frames_per_episode\": 108000}} --gym-registration-imports-json [\"latency_bench.envs.gymnasium_atlantis\"] --gym-action-space-json {\"type\": \"discrete\", \"labels\": [\"noop\", \"fire\", \"rightfire\", \"leftfire\"], \"values\": [0, 1, 2, 3]} --gym-noop-action-json \"noop\" --gym-action-labels-json [\"noop\", \"fire\", \"rightfire\", \"leftfire\"] --gym-action-values-json [0, 1, 2, 3] --gym-noop-action-id 0 --gym-base-prompt Defend Atlantis by firing at descending enemies. Choose exactly one action from: noop, fire, rightfire, leftfire. --env-fps 60 --obs-fps 15 --frame-stack 4 --action-history-decisions 8 --simulator cpu --hold-policy hold --ordering-policy issue_order_fifo --use_env_info_cache False",
187
+ "cli_args": {
188
+ "algo": "APPO",
189
+ "env": "latency_gymnasium",
190
+ "experiment": "atlantis-qwenoft-hist8-profile-cpu15m-s0-v1",
191
+ "train_dir": "/mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teachers",
192
+ "restart_behavior": "resume",
193
+ "device": "gpu",
194
+ "seed": 0,
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+ "num_policies": 1,
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+ "async_rl": true,
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+ "worker_num_splits": 1,
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+ "max_policy_lag": 300,
199
+ "num_workers": 4,
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+ "num_envs_per_worker": 16,
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+ "batch_size": 1024,
202
+ "num_batches_per_epoch": 8,
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+ "num_epochs": 2,
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+ "rollout": 64,
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+ "recurrence": 32,
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+ "gamma": 0.99,
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+ "normalize_returns": true,
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+ "exploration_loss_coeff": 0.003,
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+ "value_loss_coeff": 0.5,
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+ "exploration_loss": "entropy",
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+ "gae_lambda": 0.95,
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+ "ppo_clip_ratio": 0.1,
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+ "ppo_clip_value": 0.2,
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+ "with_vtrace": false,
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+ "adam_eps": 1e-06,
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+ "max_grad_norm": 0.0,
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+ "learning_rate": 0.000303,
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+ "lr_schedule": "constant",
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+ "obs_scale": 1.0,
220
+ "normalize_input": true,
221
+ "experiment_summaries_interval": 1,
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+ "stats_avg": 100,
223
+ "train_for_env_steps": 15000000,
224
+ "save_every_sec": 600,
225
+ "keep_checkpoints": 5,
226
+ "encoder_conv_architecture": "convnet_simple",
227
+ "use_rnn": false,
228
+ "nonlinearity": "elu",
229
+ "adaptive_stddev": false,
230
+ "use_env_info_cache": false,
231
+ "with_wandb": true,
232
+ "wandb_project": "latency-sensitive-bench",
233
+ "wandb_group": "atlantis",
234
+ "wandb_job_type": "sample_factory",
235
+ "wandb_tags": [
236
+ "atari-hist8-v1",
237
+ "profile",
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+ "qwenoft"
239
+ ],
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+ "gym_task_name": "atlantis",
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+ "gym_env_id": "LatencyBench/Atlantis-v0",
242
+ "gym_make_kwargs_json": "{\"base_env_id\": \"ALE/Atlantis-v5\", \"render_mode\": \"rgb_array\", \"screen_size\": 84, \"noop_max\": 30, \"base_make_kwargs\": {\"obs_type\": \"rgb\", \"frameskip\": 1, \"repeat_action_probability\": 0.0, \"full_action_space\": false, \"mode\": 0, \"difficulty\": 0, \"max_num_frames_per_episode\": 108000}}",
243
+ "gym_registration_imports_json": "[\"latency_bench.envs.gymnasium_atlantis\"]",
244
+ "gym_action_space_json": "{\"type\": \"discrete\", \"labels\": [\"noop\", \"fire\", \"rightfire\", \"leftfire\"], \"values\": [0, 1, 2, 3]}",
245
+ "gym_action_labels_json": "[\"noop\", \"fire\", \"rightfire\", \"leftfire\"]",
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+ "gym_action_values_json": "[0, 1, 2, 3]",
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+ "gym_noop_action_id": 0,
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+ "gym_noop_action_json": "\"noop\"",
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+ "gym_base_prompt": "Defend Atlantis by firing at descending enemies. Choose exactly one action from: noop, fire, rightfire, leftfire.",
250
+ "env_fps": 60.0,
251
+ "obs_fps": 15.0,
252
+ "frame_stack": 4,
253
+ "action_history_decisions": 8,
254
+ "simulator": "cpu",
255
+ "mode": "train",
256
+ "latency_type": "profile_sample",
257
+ "latency_seed": 0,
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+ "latency_profile_path": "/mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teacher_configs/atlantis-qwenoft/profile/profile.json",
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+ "latency_profile_worker_slot": 0,
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+ "simulated_worker_capacity": 1,
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+ "add_latency_info": false,
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+ "hold_policy": "hold",
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+ "ordering_policy": "issue_order_fifo",
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+ "eval_episodes": 5,
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+ "eval_parallel_envs": 1,
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+ "eval_max_steps": 5000,
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+ "eval_deterministic": true,
268
+ "episode_metrics_path": "/mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teachers/atlantis-qwenoft-hist8-profile-cpu15m-s0-v1/episode_metrics.jsonl",
269
+ "output_dir": "/mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teacher_logs/atlantis-qwenoft-hist8-profile-cpu15m-s0-v1",
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+ "wandb_unique_id": "atlantis-qwenoft-hist8-profile-cpu15m-s0-v1"
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+ },
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36
+ "task": "atlantis"
37
+ },
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+ "run_id": "atlantis-qwenoft-hist8-profile-cpu15m-s0-v1",
39
+ "task": "atlantis",
40
+ "wandb_readback": {
41
+ "eval_corrected/profile_sample/profile_sample/mean_return": 38411
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+ },
43
+ "zero_teacher": {
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+ "checkpoint": "best_000026560_13598720_reward_675769.000.pth",
45
+ "checkpoint_sha256": "d41d728d8c2329d3623eb9e01bd9f3f2df4fc0d4f6f2c1f799c4badc24af78c5",
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+ "env_fps": 60,
47
+ "obs_fps": 15,
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+ "path": "zero-latency/atlantis/small-policy/sample-factory-hist8-cpu15m-s0-v1"
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+ },
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+ "zero_teacher_revision": "dfaeecb84cd6b5dfcc3adc0935d0ae86d0b504d2"
51
+ }
latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/train.yaml ADDED
@@ -0,0 +1,134 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ experiment:
2
+ name: atlantis-qwenoft-hist8-profile-cpu15m-s0-v1
3
+ seed: 0
4
+ backend:
5
+ type: sample_factory
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+ algo: APPO
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+ device: cuda
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+ train_dir: /mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teachers
9
+ restart_behavior: resume
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+ run_mode: train
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+ extra_args:
12
+ - --encoder_conv_architecture
13
+ - convnet_simple
14
+ executor:
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+ mode: simulated
16
+ simulated_worker_capacity: 1
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+ env:
18
+ name: gymnasium
19
+ task_name: atlantis
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+ env_id: LatencyBench/Atlantis-v0
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+ registration_imports:
22
+ - latency_bench.envs.gymnasium_atlantis
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+ make_kwargs:
24
+ base_env_id: ALE/Atlantis-v5
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+ render_mode: rgb_array
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+ screen_size: 84
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+ noop_max: 30
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+ base_make_kwargs:
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+ obs_type: rgb
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+ frameskip: 1
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+ repeat_action_probability: 0.0
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+ full_action_space: false
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+ mode: 0
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+ difficulty: 0
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+ max_num_frames_per_episode: 108000
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+ env_fps: 60
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+ obs_fps: 15
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+ frame_stack: 4
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+ simulator: cpu
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+ terminal_on_life_loss: false
41
+ clip_reward: false
42
+ noop_action: noop
43
+ action_map:
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+ noop: 0
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+ fire: 1
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+ rightfire: 2
47
+ leftfire: 3
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+ action_order:
49
+ - noop
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+ - fire
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+ - rightfire
52
+ - leftfire
53
+ base_prompt: 'Defend Atlantis by firing at descending enemies. Choose exactly one
54
+ action from: noop, fire, rightfire, leftfire.'
55
+ action_history_decisions: 8
56
+ latency:
57
+ method: temporal
58
+ profile_path: /mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teacher_configs/atlantis-qwenoft/profile/profile.json
59
+ profile_worker_slot: 0
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+ seed: 0
61
+ add_latency_info: false
62
+ scheduler:
63
+ hold_policy: hold
64
+ ordering_policy: issue_order_fifo
65
+ policy:
66
+ type: random
67
+ actions:
68
+ - noop
69
+ - fire
70
+ - rightfire
71
+ - leftfire
72
+ training:
73
+ train_for_env_steps: 15000000
74
+ num_workers: 4
75
+ num_envs_per_worker: 16
76
+ worker_num_splits: 1
77
+ num_policies: 1
78
+ batch_size: 1024
79
+ rollout: 64
80
+ recurrence: 32
81
+ num_epochs: 2
82
+ num_batches_per_epoch: 8
83
+ max_policy_lag: 300
84
+ learning_rate: 0.000303
85
+ lr_schedule: constant
86
+ nonlinearity: elu
87
+ gamma: 0.99
88
+ gae_lambda: 0.95
89
+ ppo_clip_ratio: 0.1
90
+ ppo_clip_value: 0.2
91
+ exploration_loss: entropy
92
+ exploration_loss_coeff: 0.003
93
+ value_loss_coeff: 0.5
94
+ max_grad_norm: 0.0
95
+ adam_eps: 1.0e-06
96
+ obs_scale: 1.0
97
+ adaptive_stddev: false
98
+ with_vtrace: false
99
+ async_rl: true
100
+ use_rnn: false
101
+ normalize_input: true
102
+ normalize_returns: true
103
+ stats_avg: 100
104
+ experiment_summaries_interval: 1
105
+ save_every_sec: 600
106
+ keep_checkpoints: 5
107
+ evaluation:
108
+ eval_interval_steps: null
109
+ eval_episodes: 5
110
+ eval_parallel_envs: 1
111
+ eval_max_steps: 5000
112
+ eval_deterministic: true
113
+ eval_suites:
114
+ fixed:
115
+ - - 0
116
+ normal: []
117
+ uniform: []
118
+ logging:
119
+ output_dir: /mnt/ssd/codex/atari-hist8-20260924/outputs/tasks/atari_hist8_v1/teacher_logs/atlantis-qwenoft-hist8-profile-cpu15m-s0-v1
120
+ video:
121
+ enabled: false
122
+ num_bins: 1
123
+ save_step_records: false
124
+ save_action_records: false
125
+ save_latency_records: false
126
+ wandb_project: latency-sensitive-bench
127
+ wandb_group: atlantis
128
+ wandb_job_type: sample_factory
129
+ wandb_tags:
130
+ - atari-hist8-v1
131
+ - profile
132
+ - qwenoft
133
+ wandb_entity: saberrr-zju
134
+ wandb_name: atlantis-qwenoft-hist8-profile-cpu15m-s0-v1
latency-aware/atlantis/small-policy/sample-factory-qwenoft-hist8-cpu15m-s0-v1/zero_teacher_config.json ADDED
@@ -0,0 +1,263 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "help": false,
3
+ "algo": "APPO",
4
+ "env": "latency_gymnasium",
5
+ "experiment": "atlantis_sf_zero_latency_hist8_cpu15m_seed0",
6
+ "train_dir": "results/checkpoints/atari_zero_hist8_cpu15m",
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+ "restart_behavior": "resume",
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+ "device": "gpu",
9
+ "seed": 0,
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+ "initial_model_path": null,
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+ "async_rl": true,
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+ "max_policy_lag": 300,
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+ "num_workers": 4,
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+ "num_envs_per_worker": 16,
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+ "batch_size": 1024,
22
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+ "num_epochs": 2,
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+ "rollout": 64,
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+ "fasttd3_replay_capacity": 6553600,
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+ "fasttd3_replay_batch_size": 32768,
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+ "fasttd3_action_chunk_horizon": 1,
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+ "fasttd3_transitions_per_update": 64,
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+ "fasttd3_train_for_optimizer_steps": 10000000000,
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+ "fasttd3_v_min": -250.0,
31
+ "fasttd3_v_max": 250.0,
32
+ "fasttd3_actor_action_l2": 0.0,
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+ "fasttd3_compile": true,
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+ "recurrence": 32,
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+ "shuffle_minibatches": false,
36
+ "gamma": 0.99,
37
+ "reward_scale": 1.0,
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+ "reward_clip": 1000.0,
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+ "value_bootstrap": false,
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+ "normalize_returns": true,
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+ "exploration_loss_coeff": 0.003,
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+ "value_loss_coeff": 0.5,
43
+ "kl_loss_coeff": 0.0,
44
+ "exploration_loss": "entropy",
45
+ "gae_lambda": 0.95,
46
+ "ppo_clip_ratio": 0.1,
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+ "ppo_clip_value": 0.2,
48
+ "with_vtrace": false,
49
+ "vtrace_rho": 1.0,
50
+ "vtrace_c": 1.0,
51
+ "optimizer": "adam",
52
+ "adam_eps": 1e-06,
53
+ "adam_beta1": 0.9,
54
+ "adam_beta2": 0.999,
55
+ "max_grad_norm": 0.0,
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+ "learning_rate": 0.000303,
57
+ "lr_schedule": "constant",
58
+ "lr_schedule_kl_threshold": 0.008,
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+ "lr_adaptive_min": 1e-06,
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+ "lr_adaptive_max": 0.01,
61
+ "obs_subtract_mean": 0.0,
62
+ "obs_scale": 1.0,
63
+ "normalize_input": true,
64
+ "normalize_input_keys": null,
65
+ "decorrelate_experience_max_seconds": 0,
66
+ "decorrelate_envs_on_one_worker": true,
67
+ "actor_worker_gpus": [],
68
+ "set_workers_cpu_affinity": true,
69
+ "force_envs_single_thread": false,
70
+ "default_niceness": 0,
71
+ "log_to_file": true,
72
+ "experiment_summaries_interval": 1,
73
+ "flush_summaries_interval": 30,
74
+ "stats_avg": 100,
75
+ "summaries_use_frameskip": true,
76
+ "heartbeat_interval": 20,
77
+ "heartbeat_reporting_interval": 180,
78
+ "train_for_env_steps": 15000000,
79
+ "train_for_seconds": 10000000000,
80
+ "save_every_sec": 600,
81
+ "keep_checkpoints": 5,
82
+ "load_checkpoint_kind": "latest",
83
+ "save_milestones_sec": -1,
84
+ "save_best_every_sec": 5,
85
+ "save_best_metric": "reward",
86
+ "save_best_after": 100000,
87
+ "benchmark": false,
88
+ "encoder_mlp_layers": [
89
+ 512,
90
+ 512
91
+ ],
92
+ "encoder_conv_architecture": "convnet_simple",
93
+ "encoder_conv_mlp_layers": [
94
+ 512
95
+ ],
96
+ "use_rnn": false,
97
+ "rnn_size": 512,
98
+ "rnn_type": "gru",
99
+ "rnn_num_layers": 1,
100
+ "decoder_mlp_layers": [],
101
+ "nonlinearity": "elu",
102
+ "policy_initialization": "orthogonal",
103
+ "policy_init_gain": 1.0,
104
+ "actor_critic_share_weights": true,
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+ "adaptive_stddev": false,
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+ "continuous_tanh_scale": 0.0,
107
+ "initial_stddev": 1.0,
108
+ "use_env_info_cache": false,
109
+ "env_gpu_actions": false,
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+ "env_gpu_observations": true,
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+ "env_frameskip": 1,
112
+ "env_framestack": 1,
113
+ "pixel_format": "CHW",
114
+ "use_record_episode_statistics": false,
115
+ "episode_counter": false,
116
+ "with_wandb": true,
117
+ "wandb_user": null,
118
+ "wandb_project": "latency-sensitive-bench",
119
+ "wandb_group": "atlantis",
120
+ "wandb_job_type": "sample_factory",
121
+ "wandb_tags": null,
122
+ "wandb_dir": "/mnt/ssd/codex/atari-zero-hist8-20260924/wandb",
123
+ "with_pbt": false,
124
+ "pbt_mix_policies_in_one_env": true,
125
+ "pbt_period_env_steps": 5000000,
126
+ "pbt_start_mutation": 20000000,
127
+ "pbt_replace_fraction": 0.3,
128
+ "pbt_mutation_rate": 0.15,
129
+ "pbt_replace_reward_gap": 0.1,
130
+ "pbt_replace_reward_gap_absolute": 1e-06,
131
+ "pbt_optimize_gamma": false,
132
+ "pbt_target_objective": "true_objective",
133
+ "pbt_perturb_min": 1.1,
134
+ "pbt_perturb_max": 1.5,
135
+ "gym_task_name": "atlantis",
136
+ "gym_env_id": "LatencyBench/Atlantis-v0",
137
+ "gym_make_kwargs_json": "{\"base_env_id\": \"ALE/Atlantis-v5\", \"render_mode\": \"rgb_array\", \"screen_size\": 84, \"noop_max\": 30, \"base_make_kwargs\": {\"obs_type\": \"rgb\", \"frameskip\": 1, \"repeat_action_probability\": 0.0, \"full_action_space\": false, \"mode\": 0, \"difficulty\": 0, \"max_num_frames_per_episode\": 108000}}",
138
+ "gym_registration_imports_json": "[\"latency_bench.envs.gymnasium_atlantis\"]",
139
+ "gym_action_space_json": "{\"type\": \"discrete\", \"labels\": [\"noop\", \"fire\", \"rightfire\", \"leftfire\"], \"values\": [0, 1, 2, 3]}",
140
+ "gym_action_labels_json": "[\"noop\", \"fire\", \"rightfire\", \"leftfire\"]",
141
+ "gym_action_values_json": "[0, 1, 2, 3]",
142
+ "gym_noop_action_id": 0,
143
+ "gym_noop_action_json": "\"noop\"",
144
+ "gym_base_prompt": "Defend Atlantis by firing at descending enemies. Choose exactly one action from: noop, fire, rightfire, leftfire.",
145
+ "gym_state_labels_json": "",
146
+ "env_fps": 60.0,
147
+ "obs_fps": 15.0,
148
+ "frame_stack": 4,
149
+ "action_history_decisions": 8,
150
+ "simulator": "cpu",
151
+ "gpu_env_device": "auto",
152
+ "gpu_env_batch_size": 1,
153
+ "noop_max": null,
154
+ "terminal_on_life_loss": null,
155
+ "clip_reward": null,
156
+ "max_episode_steps": null,
157
+ "export_env_raw_rgb_frames": false,
158
+ "mode": "train",
159
+ "latency_type": "zero",
160
+ "fixed_latency_ms": null,
161
+ "mean_latency_ms": null,
162
+ "std_latency_ms": null,
163
+ "min_latency_ms": null,
164
+ "max_latency_ms": null,
165
+ "latency_seed": null,
166
+ "latency_profile_path": null,
167
+ "latency_profile_worker_slot": null,
168
+ "simulated_worker_capacity": null,
169
+ "add_latency_info": false,
170
+ "max_pending_actions": null,
171
+ "hold_last_chunk_action": false,
172
+ "hold_policy": "hold",
173
+ "ordering_policy": "issue_order_fifo",
174
+ "eval_episodes": 5,
175
+ "eval_parallel_envs": 1,
176
+ "eval_latency_raw_frame_values": null,
177
+ "eval_max_steps": 5000,
178
+ "eval_deterministic": true,
179
+ "eval_raw_reward": false,
180
+ "episode_metrics_path": "results/checkpoints/atari_zero_hist8_cpu15m/atlantis_sf_zero_latency_hist8_cpu15m_seed0/episode_metrics.jsonl",
181
+ "ppo": null,
182
+ "command_line": "--mode train --algo APPO --env latency_gymnasium --experiment atlantis_sf_zero_latency_hist8_cpu15m_seed0 --train_dir results/checkpoints/atari_zero_hist8_cpu15m --restart_behavior resume --device gpu --seed 0 --episode_metrics_path results/checkpoints/atari_zero_hist8_cpu15m/atlantis_sf_zero_latency_hist8_cpu15m_seed0/episode_metrics.jsonl --train_for_env_steps 15000000 --num_workers 4 --num_envs_per_worker 16 --num_policies 1 --batch_size 1024 --rollout 64 --recurrence 32 --num_epochs 2 --num_batches_per_epoch 8 --worker_num_splits 1 --max_policy_lag 300 --learning_rate 0.000303 --lr_schedule constant --nonlinearity elu --gamma 0.99 --gae_lambda 0.95 --ppo_clip_ratio 0.1 --ppo_clip_value 0.2 --exploration_loss entropy --exploration_loss_coeff 0.003 --value_loss_coeff 0.5 --max_grad_norm 0.0 --adam_eps 1e-06 --obs_scale 1.0 --save_every_sec 600 --keep_checkpoints 5 --stats_avg 100 --experiment_summaries_interval 1 --async_rl True --use_rnn False --normalize_returns True --normalize_input True --adaptive_stddev False --with_vtrace False --latency-type zero --add-latency-info False --eval-episodes 5 --eval-parallel-envs 1 --eval-max-steps 5000 --eval-deterministic True --with_wandb True --wandb_project latency-sensitive-bench --wandb_group atlantis --wandb_job_type sample_factory --encoder_conv_architecture convnet_simple --gym-task-name atlantis --gym-env-id LatencyBench/Atlantis-v0 --gym-make-kwargs-json {\"base_env_id\": \"ALE/Atlantis-v5\", \"render_mode\": \"rgb_array\", \"screen_size\": 84, \"noop_max\": 30, \"base_make_kwargs\": {\"obs_type\": \"rgb\", \"frameskip\": 1, \"repeat_action_probability\": 0.0, \"full_action_space\": false, \"mode\": 0, \"difficulty\": 0, \"max_num_frames_per_episode\": 108000}} --gym-registration-imports-json [\"latency_bench.envs.gymnasium_atlantis\"] --gym-action-space-json {\"type\": \"discrete\", \"labels\": [\"noop\", \"fire\", \"rightfire\", \"leftfire\"], \"values\": [0, 1, 2, 3]} --gym-noop-action-json \"noop\" --gym-action-labels-json [\"noop\", \"fire\", \"rightfire\", \"leftfire\"] --gym-action-values-json [0, 1, 2, 3] --gym-noop-action-id 0 --gym-base-prompt Defend Atlantis by firing at descending enemies. Choose exactly one action from: noop, fire, rightfire, leftfire. --env-fps 60 --obs-fps 15 --frame-stack 4 --action-history-decisions 8 --simulator cpu --hold-policy hold --ordering-policy issue_order_fifo --use_env_info_cache False",
183
+ "cli_args": {
184
+ "algo": "APPO",
185
+ "env": "latency_gymnasium",
186
+ "experiment": "atlantis_sf_zero_latency_hist8_cpu15m_seed0",
187
+ "train_dir": "results/checkpoints/atari_zero_hist8_cpu15m",
188
+ "restart_behavior": "resume",
189
+ "device": "gpu",
190
+ "seed": 0,
191
+ "num_policies": 1,
192
+ "async_rl": true,
193
+ "worker_num_splits": 1,
194
+ "max_policy_lag": 300,
195
+ "num_workers": 4,
196
+ "num_envs_per_worker": 16,
197
+ "batch_size": 1024,
198
+ "num_batches_per_epoch": 8,
199
+ "num_epochs": 2,
200
+ "rollout": 64,
201
+ "recurrence": 32,
202
+ "gamma": 0.99,
203
+ "normalize_returns": true,
204
+ "exploration_loss_coeff": 0.003,
205
+ "value_loss_coeff": 0.5,
206
+ "exploration_loss": "entropy",
207
+ "gae_lambda": 0.95,
208
+ "ppo_clip_ratio": 0.1,
209
+ "ppo_clip_value": 0.2,
210
+ "with_vtrace": false,
211
+ "adam_eps": 1e-06,
212
+ "max_grad_norm": 0.0,
213
+ "learning_rate": 0.000303,
214
+ "lr_schedule": "constant",
215
+ "obs_scale": 1.0,
216
+ "normalize_input": true,
217
+ "experiment_summaries_interval": 1,
218
+ "stats_avg": 100,
219
+ "train_for_env_steps": 15000000,
220
+ "save_every_sec": 600,
221
+ "keep_checkpoints": 5,
222
+ "encoder_conv_architecture": "convnet_simple",
223
+ "use_rnn": false,
224
+ "nonlinearity": "elu",
225
+ "adaptive_stddev": false,
226
+ "use_env_info_cache": false,
227
+ "with_wandb": true,
228
+ "wandb_project": "latency-sensitive-bench",
229
+ "wandb_group": "atlantis",
230
+ "wandb_job_type": "sample_factory",
231
+ "gym_task_name": "atlantis",
232
+ "gym_env_id": "LatencyBench/Atlantis-v0",
233
+ "gym_make_kwargs_json": "{\"base_env_id\": \"ALE/Atlantis-v5\", \"render_mode\": \"rgb_array\", \"screen_size\": 84, \"noop_max\": 30, \"base_make_kwargs\": {\"obs_type\": \"rgb\", \"frameskip\": 1, \"repeat_action_probability\": 0.0, \"full_action_space\": false, \"mode\": 0, \"difficulty\": 0, \"max_num_frames_per_episode\": 108000}}",
234
+ "gym_registration_imports_json": "[\"latency_bench.envs.gymnasium_atlantis\"]",
235
+ "gym_action_space_json": "{\"type\": \"discrete\", \"labels\": [\"noop\", \"fire\", \"rightfire\", \"leftfire\"], \"values\": [0, 1, 2, 3]}",
236
+ "gym_action_labels_json": "[\"noop\", \"fire\", \"rightfire\", \"leftfire\"]",
237
+ "gym_action_values_json": "[0, 1, 2, 3]",
238
+ "gym_noop_action_id": 0,
239
+ "gym_noop_action_json": "\"noop\"",
240
+ "gym_base_prompt": "Defend Atlantis by firing at descending enemies. Choose exactly one action from: noop, fire, rightfire, leftfire.",
241
+ "env_fps": 60.0,
242
+ "obs_fps": 15.0,
243
+ "frame_stack": 4,
244
+ "action_history_decisions": 8,
245
+ "simulator": "cpu",
246
+ "mode": "train",
247
+ "latency_type": "zero",
248
+ "add_latency_info": false,
249
+ "hold_policy": "hold",
250
+ "ordering_policy": "issue_order_fifo",
251
+ "eval_episodes": 5,
252
+ "eval_parallel_envs": 1,
253
+ "eval_max_steps": 5000,
254
+ "eval_deterministic": true,
255
+ "episode_metrics_path": "results/checkpoints/atari_zero_hist8_cpu15m/atlantis_sf_zero_latency_hist8_cpu15m_seed0/episode_metrics.jsonl",
256
+ "output_dir": "outputs/atari_zero_hist8_cpu15m/atlantis/train"
257
+ },
258
+ "git_hash": "unknown",
259
+ "git_repo_name": "not a git repository",
260
+ "eval_env_frameskip": 1,
261
+ "output_dir": "outputs/atari_zero_hist8_cpu15m/atlantis/train",
262
+ "wandb_unique_id": "atlantis_sf_zero_latency_hist8_cpu15m_seed0"
263
+ }